Technique for online prediction of voltage collapse

Abstract

A new technique for predicting voltage collapse in power systems in an online mode is described. This technique uses the voltage magnitude and voltage angle information at buses and the network admittance matrix to predict voltage collapse. The performance of the technique was studied for a variety of operating conditions. The technique was tested using different IEEE test systems. The simulations were carried out for steady-state voltage collapses and for dynamic voltage collapses. The results indicate that, for every bus in the system, the proposed technique can predict its proximity to voltage collapse by means of an index. This method is computationally efficient and suitable for real time prediction of voltage collapse. An online implementation of the technique using UCA is also proposed.